Fossil Group (FOSL) Fair Value & Analysis
Consumer Cyclical · US · Market cap $254M
Fair value as of: Jun 24, 2026
Analysis
Fossil Group (FOSL) currently trades at $4.01, while our model-based Fair Value estimate is $1.17 — implying the stock looks roughly 70.8% overvalued today. We read business quality at 92/100 (high quality), in the Consumer Cyclical sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Fossil Group, Inc., together with its subsidiaries, designs, develops, markets, and distributes consumer fashion accessories in the United States, Europe, Asia, and internationally. The company's products include traditional watches, smartwatches, jewelry, handbags, small leather goods, belts, and sunglasses. It also manufactures and distributes private label brands. The company offers its products under its proprietary brands, such as FOSSIL, SKAGEN, MICHELE, RELIC, and ZODIAC; and under the licensed brands, including ARMANI EXCHANGE, DIESEL, EMPORIO ARMANI, KATE SPADE NEW YORK, MICHAEL KORS, SKECHERS, and TORY BURCH. It sells its products through company-owned retail and outlet stores, department and specialty retail stores, mass market stores, e-commerce sites, licensed and franchised FOSSIL retail stores, retail concessions, and airlines, as well as operate stores under the WATCH STATION and WSI brands. The company was formerly known as Fossil, Inc. and changed its name to Fossi…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.